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1.
Ann Plast Surg ; 88(5 Suppl 5): S403-S409, 2022 06 01.
Artículo en Inglés | MEDLINE | ID: mdl-35690934

RESUMEN

BACKGROUND: Mastectomy skin flap necrosis (MSFN) can significantly impact outcome after immediate breast reconstruction. Several techniques exist to predict MSFN, but these may require additional testing and information, and they are often not available before surgery. We aim to identify whether breast volume, as calculated from preoperative mammography, can be used as a preoperative predictor of MSFN. METHODS: A retrospective chart review from 2010 to 2020 resulted in 378 patients who underwent immediate implant-based breast reconstruction. Complete imaging data were available for 278 patients and 441 reconstructed breasts. Demographic, perioperative, and outcomes data were collected. Measurements from preoperative diagnostic mammograms were used to calculate breast volume. Univariate and multivariate analyses were used to evaluate the association of variables available preoperatively, including breast volume from mammogram and MSFN. Secondary analyses were performed for need for reoperation and loss of reconstruction. RESULTS: On univariate analysis of MSFN development, demographic variables found to be significantly associated with MSFN included body mass index (P = 0.04), diabetes (P = 0.03), and breast volume calculated from routine mammography (P ≤ 0.0001). Average preoperative breast volume via mammography without and with MSFN was 970.6 mL (95% confidence interval [CI], 908.9-1032.3) and 1298.3 mL (95% CI, 1140.0-1456.5) (P < 0.0001), respectively. Statistically significant intraoperative variables for MSFN development included prolonged operative time (P = 0.005), greater initial tissue expander fill volumes (P ≤ 0.001), and prepectoral implant location (P = 0.02). Higher initial tissue expander fill volumes in implant-based reconstructions were associated with increased rates of MSFN, 264.1 mL (95% CI, 247.2-281.0) without MSFN and 349.9 mL (95% CI, 302.0-397.8) in the group with MSFN, respectively (P < 0.001). On multivariate analysis, preoperative imaging volume (P = 0.02) was found to be significant, whereas body mass index and diabetes lost significance (P = 0.40) in association with MSFN. CONCLUSIONS: The results of this study establish an association between larger breast volume on preoperative imaging and development of MSFN. This may be useful as a tool for more appropriate patient selection and guidance in the setting of immediate breast reconstruction.


Asunto(s)
Implantes de Mama , Neoplasias de la Mama , Mamoplastia , Neoplasias de la Mama/cirugía , Femenino , Humanos , Mamoplastia/métodos , Mastectomía/métodos , Necrosis/etiología , Necrosis/cirugía , Complicaciones Posoperatorias/cirugía , Estudios Retrospectivos , Colgajos Quirúrgicos/cirugía
3.
SN Compr Clin Med ; 2(11): 2271-2277, 2020.
Artículo en Inglés | MEDLINE | ID: mdl-33078136

RESUMEN

Non-attendance of healthcare appointments impact individual health outcomes and the capacity and financial stability of clinics. While non-attendance of appointments has been associated with a variety of factors, interventions to increase attendance have had mixed success. The most widely used intervention, reminder systems like phone calls or text messages, generally improves attendance rates but is insufficient for many clinics as a sole intervention. This study of underresourced patients who did not attend appointments at two clinics for uninsured individuals describes the multifactorial, individualized, and interacting reasons for non-attendance among these methods: Forty-three patients were interviewed by phone within 3 weeks of missing a clinic appointment using a scripted interview based on the literature. Responses were coded and analyzed. For 57% of respondents, a competing priority such as work or caregiving was a reason for missing an appointment. Forgetting about the appointment was a barrier for 38% of participants despite reminder systems being in place. Contributions to non-attendance were identified through thematic analysis: emotional and physical exhaustion, prioritization of work over healthcare, unreliable transportation, financial stress, and being unaware of an appointment. These findings demonstrate the need to test multiple patient-centered interventions, particularly in the context of underresourced communities.

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